Uploaded October 2024 | Updated September 2026, 1 week ago
Explore Retrieval Augmented Generation (RAG) with best-selling author Denis Rothman.
In this session, learn about the following things:
1) Why and when to choose Retrieval Augmented Generation (RAG) over fine-tuning and vice versa?
2) When and how to choose RAG-driven Generative AI search methods over traditional search engine methods?
3) How does RAG work? What is an efficient architecture?
4) How to choose the right data and process knowledge bases?
5) How can I create a functional RAG/GenAI pipeline considering the library dependencies of the continually evolving AI platforms?
6) What are the challenges of implementing RAG-driven-Generative AI in a real-life project?
During the live event, you can ask more questions! We will try to get all the questions answered live during the event.
We will also give away E-copies to 2 lucky winners during the session. Comment with #packt to enter the raffle.
Explore Retrieval Augmented Generation (RAG) with best-selling author Denis Rothman.
In this session, learn about the following things:
1) Why and when to choose Retrieval Augmented Generation (RAG) over fine-tuning and vice versa?
2) When and how to choose RAG-driven Generative AI search methods over traditional search engine methods?
3) How does RAG work? What is an efficient architecture?
4) How to choose the right data and process knowledge bases?
5) How can I create a functional RAG/GenAI pipeline considering the library dependencies of the continually evolving AI platforms?
6) What are the challenges of implementing RAG-driven-Generative AI in a real-life project?
During the live event, you can ask more questions! We will try to get all the questions answered live during the event.
We will also give away E-copies to 2 lucky winners during the session. Comment with #packt to enter the raffle.
